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                <p>​        最近接触到协同过滤文章推荐算法，到目前为止Spark环境还是有问题，简单的小程序也跑不起来，于是决定了解一下Spark的环境配置相关问题。</p>
<h2 id="一、介绍"><a href="#一、介绍" class="headerlink" title="一、介绍"></a>一、介绍</h2><p>​    目前为止，我了解到的Spark是基于scala编写的，所以使用Spark框架需要scala环境，Spark中一共是五个模块：</p>
<img src="/2021/04/03/Spark%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE%E8%B8%A9%E5%9D%91%E8%AE%B0%E5%BD%95/image-20210403104035876.png" class>

<p>其中MLlib和Graphx是机器学习中的类库，协同过滤算法使用的ALS（交替最小二乘法）就在MLlib中，Graphx是处理图像的。</p>
<h2 id="二、Scala环境配置"><a href="#二、Scala环境配置" class="headerlink" title="二、Scala环境配置"></a>二、Scala环境配置</h2><p>​        Scala环境有两种配置方法，一种是在IDE工具中获取Scala，另一种就是去官方下载安装包。</p>
<blockquote>
<p>注意：scala和版本和Spark版本是对应的，版本不一致会导致程序出错，这个版本问题就很头疼，找了一晚上，目前知道的是Scala 2.12.11版本和Spark3.0.0版本是相匹配的。</p>
</blockquote>
<h3 id="1、IDE工具获取Scala"><a href="#1、IDE工具获取Scala" class="headerlink" title="1、IDE工具获取Scala"></a>1、IDE工具获取Scala</h3><p>​        由于本人现在学的是Java，使用的工具是IDEA，所以这里就用IDEA进行展示。</p>
<h4 id="1、获取Scala插件"><a href="#1、获取Scala插件" class="headerlink" title="1、获取Scala插件"></a>1、获取Scala插件</h4><p>打开Configure，找到Plugins选项，在MarketPlace里面搜索Scala，点击Install</p>
<img src="/2021/04/03/Spark%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE%E8%B8%A9%E5%9D%91%E8%AE%B0%E5%BD%95/image-20210403104741795.png" class>

<img src="/2021/04/03/Spark%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE%E8%B8%A9%E5%9D%91%E8%AE%B0%E5%BD%95/image-20210403105106659.png" class>

<img src="/2021/04/03/Spark%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE%E8%B8%A9%E5%9D%91%E8%AE%B0%E5%BD%95/image-20210403105140540.png" class>

<h4 id="2、新建maven项目（这里就不多说了）"><a href="#2、新建maven项目（这里就不多说了）" class="headerlink" title="2、新建maven项目（这里就不多说了）"></a>2、新建maven项目（这里就不多说了）</h4><h4 id="3、下载scala-sdk"><a href="#3、下载scala-sdk" class="headerlink" title="3、下载scala sdk"></a>3、下载scala sdk</h4><p>左上角File &gt; Project Structure &gt; Global Libraries，新建一个Scala的sdk</p>
<img src="/2021/04/03/Spark%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE%E8%B8%A9%E5%9D%91%E8%AE%B0%E5%BD%95/image-20210403105612397.png" class>

<p>左下角选择download，选择合适的版本安装，安装完成之后就会出现在选择页面上</p>
<img src="/2021/04/03/Spark%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE%E8%B8%A9%E5%9D%91%E8%AE%B0%E5%BD%95/image-20210403105751741.png" class>

<p>选中刚刚下载的scala之后点击OK</p>
<img src="/2021/04/03/Spark%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE%E8%B8%A9%E5%9D%91%E8%AE%B0%E5%BD%95/image-20210403105930485.png" class>

<p>这样scala的环境就配置好了</p>
<h3 id="2、官网安装Scala"><a href="#2、官网安装Scala" class="headerlink" title="2、官网安装Scala"></a>2、官网安装Scala</h3><h4 id="1、获取scala安装包或者压缩包"><a href="#1、获取scala安装包或者压缩包" class="headerlink" title="1、获取scala安装包或者压缩包"></a>1、获取scala安装包或者压缩包</h4><p>进入<a target="_blank" rel="noopener" href="https://www.scala-lang.org/download/all.html">scala下载网址</a>，找到合适的版本，windwos平台可以用msi安装，而zip直接解压就可以使用</p>
<img src="/2021/04/03/Spark%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE%E8%B8%A9%E5%9D%91%E8%AE%B0%E5%BD%95/image-20210403110751901.png" class>

<h4 id="2、导入Scala的sdk"><a href="#2、导入Scala的sdk" class="headerlink" title="2、导入Scala的sdk"></a>2、导入Scala的sdk</h4><p>和IDEA获取Scala方法的第3步一样，新建一个Scala的sdk，这次直接选择browser，找到刚才安装或者解压的Scala的目录，点击OK</p>
<img src="/2021/04/03/Spark%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE%E8%B8%A9%E5%9D%91%E8%AE%B0%E5%BD%95/image-20210403111059383.png" class>

<p>这样scala的环境就配置好了</p>
<h2 id="三、Spark安装与环境配置"><a href="#三、Spark安装与环境配置" class="headerlink" title="三、Spark安装与环境配置"></a>三、Spark安装与环境配置</h2><h3 id="1、下载"><a href="#1、下载" class="headerlink" title="1、下载"></a>1、下载</h3><p>可以去<a target="_blank" rel="noopener" href="http://spark.apache.org/downloads.html">官网</a>下载最新发布的稳定版，也可以下载<a target="_blank" rel="noopener" href="https://archive.apache.org/dist/spark/">之前的版本</a>（对应scala的版本），</p>
<img src="/2021/04/03/Spark%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE%E8%B8%A9%E5%9D%91%E8%AE%B0%E5%BD%95/image-20210403111550776.png" class title="最新稳定版">

<img src="/2021/04/03/Spark%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE%E8%B8%A9%E5%9D%91%E8%AE%B0%E5%BD%95/image-20210403111711002.png" class title="之前的版本">

<p>下载之后解压到指定文件夹即可</p>
<h4 id="2、配置环境"><a href="#2、配置环境" class="headerlink" title="2、配置环境"></a>2、配置环境</h4><p>Windows搜索 编辑系统环境变量，进去之后点击环境变量，在上半部分的用户变量中找到Path变量进行编辑，新增一个刚才Spark解压的目录中有一个bin文件夹的路径，然后一直点确定。</p>
<img src="/2021/04/03/Spark%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE%E8%B8%A9%E5%9D%91%E8%AE%B0%E5%BD%95/image-20210403112253843.png" class>

<h4 id="3、测试"><a href="#3、测试" class="headerlink" title="3、测试"></a>3、测试</h4><p>打开命令行，输入 spark-shell，出现下图所示即安装成功(中间可能会有报错，正常情况)</p>
<img src="/2021/04/03/Spark%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE%E8%B8%A9%E5%9D%91%E8%AE%B0%E5%BD%95/image-20210403112457722.png" class>

<h2 id="四、代码测试"><a href="#四、代码测试" class="headerlink" title="四、代码测试"></a>四、代码测试</h2><h4 id="1、创建maven项目"><a href="#1、创建maven项目" class="headerlink" title="1、创建maven项目"></a>1、创建maven项目</h4><p>在pom.xml中加入以下依赖</p>
<pre class="line-numbers language-xml" data-language="xml"><code class="language-xml"><span class="token tag"><span class="token tag"><span class="token punctuation">&lt;</span>dependencies</span><span class="token punctuation">></span></span>
        <span class="token tag"><span class="token tag"><span class="token punctuation">&lt;</span>dependency</span><span class="token punctuation">></span></span>
            <span class="token tag"><span class="token tag"><span class="token punctuation">&lt;</span>groupId</span><span class="token punctuation">></span></span>org.apache.spark<span class="token tag"><span class="token tag"><span class="token punctuation">&lt;/</span>groupId</span><span class="token punctuation">></span></span>
            <span class="token tag"><span class="token tag"><span class="token punctuation">&lt;</span>artifactId</span><span class="token punctuation">></span></span>spark-core_2.12<span class="token tag"><span class="token tag"><span class="token punctuation">&lt;/</span>artifactId</span><span class="token punctuation">></span></span>	//2.12代表的是scala的版本，根据实际情况修改
            <span class="token tag"><span class="token tag"><span class="token punctuation">&lt;</span>version</span><span class="token punctuation">></span></span>3.0.0<span class="token tag"><span class="token tag"><span class="token punctuation">&lt;/</span>version</span><span class="token punctuation">></span></span>		//3.0.0是安装的Spark的版本
        <span class="token tag"><span class="token tag"><span class="token punctuation">&lt;/</span>dependency</span><span class="token punctuation">></span></span>
    <span class="token tag"><span class="token tag"><span class="token punctuation">&lt;/</span>dependencies</span><span class="token punctuation">></span></span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre>

<p>右击项目根目录，选择Add Framework Support，找到scala选中，添加到项目框架支持，这样就可以新建Scala Class</p>
<img src="/2021/04/03/Spark%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE%E8%B8%A9%E5%9D%91%E8%AE%B0%E5%BD%95/image-20210403123340693.png" class>

<h4 id="2、测试"><a href="#2、测试" class="headerlink" title="2、测试"></a>2、测试</h4><p>在src下新建main/java资源根目录，右击java新建Scala Class，新建WordCount测试类，代码如下</p>
<pre class="line-numbers language-scala" data-language="scala"><code class="language-scala"><span class="token keyword">import</span> <span class="token namespace">org<span class="token punctuation">.</span>apache<span class="token punctuation">.</span>spark<span class="token punctuation">.</span></span><span class="token punctuation">&#123;</span>SparkConf<span class="token punctuation">,</span> SparkContext<span class="token punctuation">&#125;</span>

<span class="token keyword">object</span> WordCount <span class="token punctuation">&#123;</span>
  <span class="token keyword">def</span> main<span class="token punctuation">(</span>args<span class="token operator">:</span> Array<span class="token punctuation">[</span><span class="token builtin">String</span><span class="token punctuation">]</span><span class="token punctuation">)</span><span class="token operator">:</span> <span class="token builtin">Unit</span> <span class="token operator">=</span> <span class="token punctuation">&#123;</span>
    <span class="token keyword">val</span> sparkConf <span class="token operator">=</span> <span class="token keyword">new</span> SparkConf<span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">.</span>setMaster<span class="token punctuation">(</span><span class="token string">"local"</span><span class="token punctuation">)</span><span class="token punctuation">.</span>setAppName<span class="token punctuation">(</span><span class="token string">"WordCount"</span><span class="token punctuation">)</span>
    <span class="token keyword">val</span> sc <span class="token operator">=</span> <span class="token keyword">new</span> SparkContext<span class="token punctuation">(</span>sparkConf<span class="token punctuation">)</span>
    <span class="token keyword">val</span> rdd <span class="token operator">=</span>sc<span class="token punctuation">.</span>parallelize<span class="token punctuation">(</span>List<span class="token punctuation">(</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">2</span><span class="token punctuation">,</span><span class="token number">3</span><span class="token punctuation">,</span><span class="token number">4</span><span class="token punctuation">,</span><span class="token number">5</span><span class="token punctuation">,</span><span class="token number">6</span><span class="token punctuation">)</span><span class="token punctuation">)</span><span class="token punctuation">.</span>map<span class="token punctuation">(</span>_<span class="token operator">*</span><span class="token number">3</span><span class="token punctuation">)</span>
    <span class="token keyword">val</span> mappedRDD<span class="token operator">=</span>rdd<span class="token punctuation">.</span>filter<span class="token punctuation">(</span>_<span class="token operator">></span><span class="token number">10</span><span class="token punctuation">)</span><span class="token punctuation">.</span>collect<span class="token punctuation">(</span><span class="token punctuation">)</span>
    <span class="token comment">//对集合求和</span>
    println<span class="token punctuation">(</span>rdd<span class="token punctuation">.</span>reduce<span class="token punctuation">(</span>_<span class="token operator">+</span>_<span class="token punctuation">)</span><span class="token punctuation">)</span>
    <span class="token comment">//输出大于10的元素</span>
    <span class="token keyword">for</span><span class="token punctuation">(</span>arg <span class="token keyword">&lt;-</span> mappedRDD<span class="token punctuation">)</span>
      print<span class="token punctuation">(</span>arg<span class="token operator">+</span><span class="token string">" "</span><span class="token punctuation">)</span>
    println<span class="token punctuation">(</span><span class="token punctuation">)</span>
    println<span class="token punctuation">(</span><span class="token string">"math is work"</span><span class="token punctuation">)</span>
    sc<span class="token punctuation">.</span>stop<span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">;</span>
  <span class="token punctuation">&#125;</span>
<span class="token punctuation">&#125;</span><span aria-hidden="true" class="line-numbers-rows"><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span><span></span></span></code></pre>

<p>右击运行，出现下图结果表明环境配置成功</p>
<img src="/2021/04/03/Spark%E7%8E%AF%E5%A2%83%E9%85%8D%E7%BD%AE%E8%B8%A9%E5%9D%91%E8%AE%B0%E5%BD%95/image-20210403123724780.png" class title="成功运行图">


                
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